Radiology Research Frontend
Pneumonia Diagnostic Engine
This interface is designed for fast model-assisted review of chest X-rays, combining a polished upload workflow, readable prediction output, baseline context, and access to the project’s deeper analysis workspace when you need more than a single classification.
Checking service connectivity...
Inference Workspace
Upload a chest X-ray and run the engine
Prediction Console
Readable model output with context
Select an image and run the classifier to see the prediction.
Predicted class
Awaiting result
0%
Workspace and Baseline
Model baseline and research caveats
Loading baseline metrics...
Accuracy
Loading...
- Loading project context...
Testing Folder
Download 20 images for engine testing
Download a ready-to-use folder of chest X-ray images and use it to test the full upload, preview, and prediction flow of the engine.
20
Total images
10
Normal scans
10
Pneumonia scans
The download is a zipped folder containing 20 JPEG chest X-ray images prepared for quick engine validation.
Navigation Guide
Use each page for one clear purpose
01
Workspace
Run quick predictions, inspect the uploaded image, and read the saved baseline on one uncluttered page.
02
Analysis Lab
Open the dedicated analysis page for dataset composition, split evidence, audit findings, and training traces.
03
API Docs and Future Dev
Use the docs page for integration details and the roadmap page for the next steps that would strengthen the solution.
About Page
Explore the project story and the author behind the engine
Open the dedicated About page to read the full project context, dataset provenance, solution explanation, real-world value, and the complete author profile in one place.